Investigating urban mobility through multi-source public transportation data: A multiplex network perspective

IF 4 2区 地球科学 Q1 GEOGRAPHY
Zhitao Li , Jinjun Tang , Tao Feng , Biao Liu , Junqiang Cao , Tianjian Yu , Yifeng Ji
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引用次数: 0

Abstract

The integration of multi-source and diverse spatio-temporal travel data provides a comprehensive insight into urban mobility. Using data from Shenzhen's public transportation system, this study presents an analytical framework based on multiplex networks to examine variations in multi-mode public transportation usage (metro, bus, taxi, and shared bike) and their correlation with the built environment. This framework encompasses the analysis of network topological characteristics, centrality, and communities. The examination of network topological characteristics reveals that the multiplex transportation network exhibits high global accessibility and local connectivity. Network centrality analysis, focusing on weighted outdegree centrality, captures the patterns of public transportation ridership. Centrality modeling, employing the light gradient boosting machine, demonstrates a nonlinear relationship between ridership and the built environment. Factors including population density, residential land use percentage, entertainment service density, restaurant density, and metro station density consistently exhibit positive correlations with ridership across different times of the day. The community structure analysis, using consensus community detection, indicates that distinct urban areas exhibit clustering behavior based on public transportation demand patterns, forming distinct communities that closely align with the functional zoning of urban planning. These findings could provide valuable insights for the strategic planning of transportation services and the built environment.

通过多源公共交通数据调查城市流动性:多重网络视角
通过整合多源、多样的时空出行数据,可以全面了解城市交通情况。本研究利用深圳公共交通系统的数据,提出了一个基于多重网络的分析框架,以研究多种公共交通模式(地铁、公交、出租车和共享单车)使用率的变化及其与建筑环境的相关性。该框架包括对网络拓扑特征、中心性和社区的分析。对网络拓扑特征的研究表明,多重交通网络具有较高的全球可达性和本地连通性。网络中心性分析侧重于加权缺度中心性,可捕捉到公共交通的乘客模式。采用轻梯度提升机进行的中心性建模表明,乘客量与建筑环境之间存在非线性关系。人口密度、住宅用地比例、娱乐服务密度、餐厅密度和地铁站密度等因素在一天中的不同时段都与乘客量呈正相关关系。利用共识社区检测进行的社区结构分析表明,不同的城市区域根据公共交通需求模式表现出集群行为,形成了与城市规划功能分区密切相关的独特社区。这些发现可为交通服务和建筑环境的战略规划提供有价值的见解。
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来源期刊
Applied Geography
Applied Geography GEOGRAPHY-
CiteScore
8.00
自引率
2.00%
发文量
134
期刊介绍: Applied Geography is a journal devoted to the publication of research which utilizes geographic approaches (human, physical, nature-society and GIScience) to resolve human problems that have a spatial dimension. These problems may be related to the assessment, management and allocation of the world physical and/or human resources. The underlying rationale of the journal is that only through a clear understanding of the relevant societal, physical, and coupled natural-humans systems can we resolve such problems. Papers are invited on any theme involving the application of geographical theory and methodology in the resolution of human problems.
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